Evidence map›Paper›PMID 37128449›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022

Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease.

Jonathan Y Lam, Andrew Richardson, John T Kanegaye, Adriana H Tremoulet, Chisato Shimizu, Nicole A Stadnick, Jane C Burns, Shamim Nemati, Michael A Gardiner

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jonathan Y LamDepartment of Biomedical Informatics, University of California San Diego, La Jolla, CA.
Andrew RichardsonDepartment of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA.
John T KanegayeDepartment of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA.
Adriana H TremouletDepartment of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA.
Chisato ShimizuDepartment of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA.
Nicole A StadnickDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
Jane C BurnsDepartment of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA.
Shamim NematiDepartment of Biomedical Informatics, University of California San Diego, La Jolla, CA.
Michael A GardinerDepartment of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA.
University of California San Diego · US

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Innate Immune Activation and Endothelial Cell Dysfunction in Acute Kawasaki DiseaseR01HL140898 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BURNS, JANE C, HOFFMAN, HAROLD M · 2018 to 2022
$4.3M
Diagnosing and predicting risk in children with SARS-CoV-2- related illnessR33HD105590 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BURNS, JANE C · 2023 to 2023
$2.9M
Diagnosing and predicting risk in children with SARS-CoV-2- related illnessR61HD105590 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BURNS, JANE C · 2021 to 2022
$1.8M
NHLBI NIH HHS R01 HL140898NICHD NIH HHS R33 HD105590NICHD NIH HHS R61 HD105590NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

Multisystem inflammatory syndrome in children (MIS-C) is a novel disease identified during the COVID-19 pandemic that may lead to cardiac dysfunction or death in pediatric patients. Early detection of MIS-C remains a challenge given the lack of a diagnostic test and its clinical similarities to Kawasaki disease (KD) and other acute childhood illnesses. We developed and validated the KawasakI Disease vs Multisystem InflAmmaTory syndrome in CHildren (KIDMATCH) clinical decision support tool for screening patients for MIS-C, KD, or other febrile illnesses. Here we describe the implementation and iterative refinement of KIDMATCH with provider feedback as a web calculator in the clinical workflow within Rady Children's Hospital. Our findings demonstrate KIDMATCH and its underlying artificial intelligence model have clinical utility in aiding clinicians at the time of initial evaluation within the hospital setting to distinguish patients who have MIS-C, KD, or other febrile illnesses.

Indexed as

COVID-19Decision Support Systems, ClinicalMucocutaneous Lymph Node SyndromeArtificial IntelligenceChildCOVID-19 TestingHospitals, PediatricHumansPandemicsSystemic Inflammatory Response Syndrome

Identifiers

PMID37128449
PMCPMC10148341
OpenAlexW4367668231

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.